Design models deal with the optimal planning of systems that are intrinsically robust and, therefore, have a high degree of performance both normally and when a disruption occurs [48,49,22,47,15,32,6]. The second one deals with interdiction problems that identify the most critical system ...
This Git repository contains the code that accompanies the research paper "StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics". The details of the experiments and the research outcome are described inthe paper. ...
Abstract This paper explores models and algorithms for routing and scheduling ships in a maritime transportation system. The principal thrust of this research effort is focused on the Kuwait Petroleum Corporation (KPC) Problem. This problem is of great economic significance to the State of Kuwait, w...
service indicators are abstracted into generic data models. Collection and pre-processing functions are abstracted to form standalone, atomized functions that can be orchestrated. Doing so forms
Make 3D assets generation in ComfyUI good and convenient as it generates image/video! This is an extensive node suite that enables ComfyUI to process 3D inputs (Mesh & UV Texture, etc.) using cutting edge algorithms (3DGS, NeRF, etc.) and models (InstantMesh, CRM, TripoSR, etc.) ...
Mastering diverse control tasks through world models ArticleOpen access02 April 2025 Main Human intuition and know-how have been crucial in improving algorithms. However, many algorithms have reached a stage whereby human experts have not been able to optimize them further, leading to an ever-growin...
For most gamut mapping models, therefore, you should continue to map source neutrals to device neutrals. To map source neutrals to device neutrals, adjust the source and destination gamut boundaries and each pixel when you apply the gamut mapping algorithm. First adjust each value in the source ...
A second advantage of using patch-based models and algorithms approaches is that it can preserve fine image details and sharp edges. However, there could be some disadvantages for patch-based models and algorithms. First, although similarity between patches assists in estimating flat regions, so ...
Gene/feature selection is an essential preprocessing step for creating models using machine learning techniques. It also plays a critical role in different biological applications such as the identification of biomarkers. Although many feature/gene selection algorithms and methods have been introduced, they...
algorithms to mitigate bias in datasets and models. It is designed to translate algorithmic research from the lab into the actual practice of domains as wide-ranging as finance, human capital management, healthcare, and education. We invite you to use it and improve it. ...